An econometric analysis of domestic air traffic demand in regional airports: Evidence from India

2021 ◽  
Vol 93 ◽  
pp. 102046
Author(s):  
K. Chandrashekhar Iyer ◽  
Nivea Thomas
Keyword(s):  
Econometric Analysis ◽  
Air Traffic ◽  
Traffic Demand ◽  
Regional Airports

Potential Traffic Demand in the London Area

1965 ◽  
Vol 69 (652) ◽  
pp. 211-215 ◽  
Author(s):  
A. H. Watson
Keyword(s):  
Air Traffic ◽  
Traffic Demand ◽  
The Third ◽  
Air Space

The June 1963 Report of the Inter-Departmental Committee on the Third London Airport concluded that a third London Airport would be required in the early 1970's, and possibly a fourth soon after 1980. It also brought out that because of the large amounts of air space required for the sequencing areas and approach paths of each airport, and because of limitations imposed by the positioning of the main air traffic routeings, the choice of possible sites within reasonable distance of Central London for the third airport was severely restricted. In a postscript to the Report, it was recognised that after the third airport has taken over a further block of air space, the difficulty of siting a fourth airport would be even more severe.

scholarly journals A Method Framework for Automatic Airspace Reconfiguration-Monte Carlo Method for Eliminating Irregular Sector Shapes Generated by Region Growth Method

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3934
Author(s):  
Zhijian Ye ◽  
Fanhe Kong ◽  
Baocheng Zhang ◽  
Wei Gao ◽  
Jianfeng Mao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulated Annealing Algorithm ◽  
Air Traffic ◽  
Traffic Demand ◽  
Dynamic Monte Carlo ◽  
Growth Method ◽  
Annealing Algorithm ◽  
Region Growth ◽  
Irregular Sector

With the growth of air traffic demand in busy airspace, there is an urgent need for airspace sectorization to increase air traffic throughput and ease the pressure on controllers. The purpose of this paper is to develop a method framework that can perform airspace sectorization automatically, reasonably, which can be used as an advisory tool for controllers as an automatic system, especially for eliminating irregular sector shapes generated by simulated annealing algorithm (SAA) based on the region growth method. The two graph cutting method, dynamic Monte Carlo method by changing location of flexible vertices (MC-CLFV) and Monte Carlo method by radius changing (MC-RC) were developed to eliminate irregular sector shapes generated by SAA in post-processing. The experimental results show that the proposed method framework of airspace sectorization (AS) can automatically and reasonably generate sector design schemes that meet the design criteria. Our methodology framework and software can provide assistant design and analysis tools for airspace planners to design airspace, improve the reliability and efficiency of airspace design, and reduce the burden of airspace planners. In addition, this lays the foundation for reconstructing airspace with the more intelligent method.

The Air Traffic Capacity of Two-Dimensional Airspace

1994 ◽  
Vol 47 (1) ◽  
pp. 33-40 ◽  
Author(s):  
S. Ratcliffe
Keyword(s):  
Flow Regulation ◽  
Air Traffic ◽  
Autonomous Control ◽  
Two Dimensional ◽  
Traffic Demand ◽  
Flight Plan ◽  
Traffic Capacity ◽  
Point Of Departure

At the present day European ATC is exercised by a multiplicity of more-or-less autonomous control centres. ‘Flow Regulation’ is used roughly to match traffic demand to the capacity of the en-route ATC and of the destination airport. The ATC authority at the point of departure for a remote destination cannot however give any guarantee that the pilot will be able to follow his chosen trajectory. The filed flight plan and the departure clearance have been described as a ‘licence to get into the sky and see what happens’.

scholarly journals Development Potentials of Low Cost Aviation in the Republic of Croatia

2012 ◽  
Vol 23 (6) ◽  
pp. 519-527 ◽  
Author(s):  
Andrija Vidović ◽  
Sanja Steiner ◽  
Igor Štimac
Keyword(s):  
Low Cost ◽  
Air Traffic ◽  
Fleet Management ◽  
Cost Models ◽  
Route Network ◽  
The Status ◽  
Progressive Growth ◽  
The Republic ◽  
Regional Airports ◽  
The Impact

The liberalization of the aviation market has enabled low-cost airlines to take over a significant share in the aviation market. Benefits of low-cost models are multiple, both for passengers and for secondary and regional airports, which were neglected in the past and which record significant inflow of passengers with the arrival of low-cost airlines. In the structure of the air traffic in the Republic of Croatia in the last ten years, there has been a progressive growth of foreign low-cost airline operations, which suggests a potential for the operation of a Croatian low-cost airline. This paper defines the criteria applicable to modelling of a low-cost airline in the Republic of Croatia in the relevant context of fleet management, route networking and operator’s processes in traffic technology. It analyzes the dynamics of low-cost airlines operations in the structure of air traffic in Croatia and the impact of traffic on the status of airports and the national operator. KEY WORDS: low-cost airline, traditional airline, airport, route network, fleet management

scholarly journals Airspace Capacity Assessment with Augmented Cell Transmission Model

2021 ◽  
Author(s):  
Wei Gao ◽  
Man Liang
Keyword(s):  
Air Traffic ◽  
Mixed Integer ◽  
Transmission Model ◽  
Capacity Assessment ◽  
Fast Time ◽  
Cell Transmission Model ◽  
Traffic Demand ◽  
Airport Capacity ◽  
Cell Transmission ◽  
The Impact

Air traffic congestion is caused by the unbalance between increasing traffic demand and saturating capacity. Flight delay not only causes huge economical lost, but also has very negative environmental impact in the whole air transportation system. In order to identify the impact of extended TMA on airport capacity, an airspace capacity assessment method based on augmented cell transmission model was proposed. Firstly, the airspace structure was modeled with points, segments, layers, and cells. Secondly, mixed integer linear programming model was built up with maximum throughput or capacity as the objective function. Finally, genetic algorithm was used to find the optimal result, and the results were validated by comparing with the fast-time simulation results generated by total airspace and airport modeler (TAAM) software. It is found that the proposed method could achieve a relatively accurate result in a much affordable and fast way. The numerical results could be very helpful for air traffic controllers to analyze the dynamic traffic flow entering and exiting TMA, so as to make decisions via reasonable analysis and do planning in advance by referring to the airport capacity.

scholarly journals Bayesian Network Modelling of ATC Complexity Metrics for Future SESAR Demand and Capacity Balance Solutions

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 379 ◽  
Author(s):  
Victor Gomez Comendador ◽  
Rosa Arnaldo Valdés ◽  
Manuel Villegas Diaz ◽  
Eva Puntero Parla ◽  
Danlin Zheng
Keyword(s):  
Bayesian Network ◽  
Traffic Control ◽  
Air Traffic ◽  
Network Modelling ◽  
Traffic Demand ◽  
Complexity Metrics ◽  
Dynamic Airspace Configuration ◽  
Input Variables ◽  
The Impact

Demand & Capacity Management solutions are key SESAR (Single European Sky ATM Research) research projects to adapt future airspace to the expected high air traffic growth in a Trajectory Based Operations (TBO) environment. These solutions rely on processes, methods and metrics regarding the complexity assessment of traffic flows. However, current complexity methodologies and metrics do not properly take into account the impact of trajectories’ uncertainty to the quality of complexity predictions of air traffic demand. This paper proposes the development of several Bayesian network (BN) models to identify the impacts of TBO uncertainties to the quality of the predictions of complexity of air traffic demand for two particular Demand Capacity Balance (DCB) solutions developed by SESAR 2020, i.e., Dynamic Airspace Configuration (DAC) and Flight Centric Air Traffic Control (FCA). In total, seven BN models are elicited covering each concept at different time horizons. The models allow evaluating the influence of the “complexity generators” in the “complexity metrics”. Moreover, when the required level for the uncertainty of complexity is set, the networks allow identifying by how much uncertainty of the input variables should improve.

scholarly journals Relationship between air traffic demand, safety and complexity in high density airspace in Europe

2020 ◽  
Vol 314 ◽  
pp. 01004
Author(s):  
Tamara Pejovic ◽  
Fedja Natjasov ◽  
Dusan Crnogorac
Keyword(s):  
Traffic Management ◽  
Flow Characteristics ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Traffic Demand ◽  
Traffic System ◽  
Traffic Distribution ◽  
Traffic Performance ◽  
Aircraft Type ◽  
Conflict Risk

Air traffic performance of the European air traffic system depends not only on traffic demand but also on airspace structure and its traffic distribution. These structural (airspace structure) and flow characteristics (factors such as traffic volume, climbing/descending traffic, mix of aircraft type, military area activity) influence airspace complexity, which can affect controller workload and influence the probability of safety occurrence. In other words, all these dynamic and static complexity components can potentially have an impact upon the safety of the air traffic management (ATM) system. Having in mind fluctuation in traffic on daily, seasonal or annual level in certain airspace, a few questions arise: How changes in traffic demand influence complexity and conflict risk? Is there any correlation between traffic demand, conflict risk and complexity? Are there any differences between seasons? For that purpose, an investigation is performed on FAB Europe Central (FABEC) airspace, based on two weeks of operated traffic during the summer and winter of 2017. Air traffic complexity is estimated using the EUROCONTROL complexity metrics, while conflict risk is assessed using the conflict risk assessment simulation tool. Results show that certain positive relationship exists between traffic demand, conflict risk and complexity.

scholarly journals Forecasting air traffic demand for major infrastructure changes

2020 ◽  
Vol 82 ◽  
pp. 100873
Author(s):  
Gisle Solvoll ◽  
Terje Andreas Mathisen ◽  
Morten Welde
Keyword(s):  
Air Traffic ◽  
Traffic Demand
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